环境科学最新文献

{"title":"[Moisture Content of Municipal Solid Waste in Some Urban Agglomeration of China in Recent Five Years].","authors":"Xiao-Bo Wang, An-Qi Liu, Hui-Qiong Zhong, Zeng-Li Zhao","doi":"10.13227/j.hjkx.202312116","DOIUrl":"https://doi.org/10.13227/j.hjkx.202312116","url":null,"abstract":"<p><p>The moisture content of the components of municipal solid waste （MSW） is a key factor that determines the end treatment technology and resource recovery methods. Understanding the variation patterns and prediction methods of the moisture content of the components has a guiding role for the planning and design of waste treatment facilities. Based on more than 500 MSW samples from more than 30 cities across China, this study analyzes the variation trends and correlations of the moisture content of the components of MSW in Yangtze River Delta, Pearl River Delta, Beijing-Tianjin-Hebei, and other major urban agglomerations and northeast, southwest, and North China in the past five years and establishes a prediction model of the moisture content of waste. The results showed that, from the national average, the main components that had higher content and higher probability of occurrence in MSW were： kitchen waste, paper, rubber and plastic, textiles, wood/bamboo, etc. Except for a few cities, the probability of occurrence of these components usually exceeded 80%. The components with lower content in MSW varied by location. The order of the moisture content of the main components of MSW was： kitchen waste &gt; wood/bamboo &gt; paper &gt; textiles &gt; rubber and plastic. From the average value, the moisture content of the components such as kitchen waste and wood/bamboo, which are usually considered to have high moisture content, has decreased slightly in the past five years. The moisture content of the main components of MSW did not change significantly with seasons； however, on the whole, it showed a weak cyclical change. In addition to paper, the average water content and average total water content of the main components of MSW reached the maximum value in July to August and the minimum value in February to March, and the average water content and average total water content of paper reached the maximum value in February and the minimum value in August. The correlation coefficients between the moisture contents of paper, rubber and plastic, textiles, and wood/bamboo were slightly higher than 0.3, indicating that these components might have similar sources of water. Model analysis showed that it is not appropriate to use the average moisture content of the components to predict the moisture content of MSW. The prediction model of the moisture content of MSW established in this study can make the error between the moisture content prediction value and the measured value of 85.45% of the samples within 20%, which can be well applied to the water prediction of domestic waste in China.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3305-3314"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Prediction of Long-term Decarbonization Trends in Cities Under Carbon Emission Constraints].","authors":"Qi-Heng Yuan, Gui-Xian Liu, Chun-Lei Zhou, Xi Lu, Yu Bo, Yan-Xi Li, Xiang Chen, Peng Jiang, Yu-Jie Huang, Yu-Bo Wang, Jia-Lin Zheng, Xu-Dong Wang, Lin Wang","doi":"10.13227/j.hjkx.202404068","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404068","url":null,"abstract":"<p><p>With climate change posing an increasingly serious threat to the environment, economic development, and human health, global attention is gradually focusing on CO₂. As the main source of carbon emissions from global energy activities, cities have become a key battlefield for reducing carbon emissions. To accurately predict the long-term carbon emission trend of cities, this study first constructed a carbon emission constraint policy indicator system according to the logic of \"policy objectives policy system policy execution market mechanism.\" Subsequently, using the BP neural network model, a long-term carbon emission trend prediction model for cities was constructed by combining GDP, industrial structure, population size, energy structure, and energy intensity, and long-term carbon emissions forecasts were made for Beijing, Tianjin, Shanghai, and Chongqing from 2021 to 2060. The results showed that： ① The total carbon emissions of Scope 1, Scope 2, and Scope 3 of Beijing, Shanghai, and Chongqing all showed a significant downward trend, whereas Tianjin showed a trend of first increasing and then decreasing, reaching a peak of 619 million tons in 2025； ② under the overall downward trend, there was a plateau period between Beijing and Shanghai, in which carbon emissions remained relatively stable during a specific time without a significant decrease； ③ an overly complex policy system may have suppressed the efficiency of carbon reduction and a reasonable intensity of policy implementation is the key to ensuring a sustained decrease in carbon emissions； and ④ slowing down the expansion of carbon market coverage appropriately had a positive effect on promoting further reduction of carbon emissions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2865-2873"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Combining Multi-source Remote Sensing Data and Object-oriented Information Extraction for Arid Wetlands].","authors":"Hong-Xia Li, Yun Shi, Zhong-Jie Ding, Lin Huang, Jun Dong, Zhi-Gang Liang, Xiao-Wen Zhu, Yi-Ting Ma, Tong Wang","doi":"10.13227/j.hjkx.202405330","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405330","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Wetlands are the heart of oases in the arid and semi-arid regions of Northwest China, playing a crucial role in climate regulation, water supply, flood storage and drought prevention, biodiversity conservation, and maintaining ecological stability in arid areas. The extraction of wetland information in arid regions provides a rapid and accurate means for monitoring the ecological environment, maintaining biodiversity, and preventing desertification and land degradation. Taking the Ningxia Yinchuan metropolitan area along the Yellow River as the study area, this research uses Sentinel-1 synthetic aperture radar （SAR） imagery, Sentinel-2 optical imagery, and topographic data as data sources. It applies object-oriented wetland information feature extraction methods to explore the importance of red edge, radar, and topographic features in extracting wetlands in arid areas. The feasibility of using the RF-Pearson model to select the optimal combination of features for wetlands in arid regions is verified, combined with the random forest algorithm and BP neural network to extract wetlands in the Ningxia Yinchuan metropolitan area in 2021. The results show that： ① Using the red edge band of Sentinel-2 imagery, the radar beam of Sentinel-1 imagery, and topographic data could effectively promote the identification and acquisition of wetland characteristics in arid regions, improving the overall accuracy of wetlands by 3.27%, 2.14%, and 1.83% compared to spectral indices and geometric features, respectively. ② The classification accuracy of the RF-Pearson model feature selection method was the highest, with the order of importance being： spectral features &gt; geometric features &gt; red edge features &gt; radar features &gt; topographic features. ③ The random forest model （RF） based on feature selection had the best classification effect on wetlands in arid region basins, with an overall accuracy of 89.79% and a Kappa coefficient of 0.842 3, which was higher than that of the BP neural network （BP） classification method, indicating that this method had certain reliability in extracting wetland information in arid regions. ④ Wetlands in the Ningxia Yinchuan metropolitan area mainly included five types： rivers, lakes, tidal flats and marshes, reservoir ponds, and ditches. They were mainly concentrated in Yinchuan City, Pingluo County, Shapotou District, Lingwu City, and Zhongning County. River wetlands dominated the wetlands in arid regions and were a prominent type of wetland in the Ningxia Yinchuan metropolitan area. In the classification results, the area of natural wetlands （rivers, lakes, and tidal flats and marshes） was 1 076.65 km&lt;sup&gt;2&lt;/sup&gt;, and the area of artificial wetlands （reservoir ponds, ditches） was 108.18 km&lt;sup&gt;2&lt;/sup&gt;, accounting for 90.86% and 9.14% of the total area of the study area, respectively. The research results can provide a scientific basis for monitoring the ecological background environment in arid regions and for ecolo","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3127-3138"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Formation Mechanism of Digital Economy on the Spatial Correlation Network Structure in Carbon Emission and Its Optimization Strategy].","authors":"Dan Yan, Shao-Xuan Huang, Jia-le He, Wan-Li Zhang","doi":"10.13227/j.hjkx.202403239","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403239","url":null,"abstract":"<p><p>The development of the digital economy has broken the \"spatiotemporal barriers\" in traditional production connections, leading to more extensive cross-regional spatial flows of carbon emissions. Based on provincial panel data from 2010 to 2021, this study uses social network analysis to reveal the structure and spatiotemporal evolution of regional carbon emission spatial correlation networks. A QAP model is constructed to explain the mechanisms by which digital economy development influences these networks through infrastructure effects, structural optimization effects, technological innovation effects, and resource allocation effects. The results showed that： ① In terms of distribution patterns, the spatial correlation of national carbon emissions exhibited a \"multi-center driven\" network structure, with connections strengthening from south to north and east to west, with Jiangsu, Zhejiang, and Shandong as the main nodes. ② Provinces, such as Beijing, Tianjin, Shanghai, and Zhejiang acted as central players in the network, forming a \"net beneficiary\" sector that exerted a siphon effect on other regions, thereby playing a dominant role in the correlation network. ③ The level of digital economy, adjacency relationships, environmental regulations, and government-business relations were common driving factors promoting the formation of carbon emission spatial correlation networks. ④ Regarding the impact mechanism of the digital economy, increasing differences in digital inclusive finance, digital innovation applications, and digital infrastructure have led to complex multi-dimensional spatial linkages of carbon emissions. The larger the digital industry development gap, the more detrimental it is to the formation of inter-provincial carbon emission network structures.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2852-2864"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Mechanisms of Three-dimensional Urban Morphology of Urban Block on Carbon Emissions].","authors":"Jia-Cheng Wang, Lin-Min Zhang, Yuan Li, Zhi Cai, Hui Wen, Yu-Long Guo, Zhi-Qiang Zhang","doi":"10.13227/j.hjkx.202405094","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405094","url":null,"abstract":"<p><p>Urban blocks are the basic unit of urban planning and fine management of carbon emissions. Investigating the interplay between urban morphology and carbon emissions holds notable implications for achieving carbon peak and carbon neutrality targets, as well as for urban sustainable development. However, most of the current research focuses on the regional and urban scales, and the influence mechanism of three-dimensional urban morphology on carbon emissions at the urban block scale remains unclear. Taking the main urban area of Hangzhou as an example, this study first estimated the spatial distribution of total urban carbon emissions at the scale of urban blocks by integrating nightlight, land use, and energy consumption data. Then, we calculated and superimposed the three-dimensional urban morphology indicators of these blocks and employed multiscale geographically weighted regression （MGWR） to explore the impact of block three-dimensional urban morphology on carbon emissions. The results showed that： ① The total CO₂ emissions from urban blocks in Hangzhou's main urban area were 50.88 million tons, with an average CO₂ emission intensity of 30 456.49 t·km^-2 in 2020. ② The three-dimensional urban morphology of blocks exhibited four spatial distribution patterns： cohesive ring-layer pattern, outer high-inner low pattern, ring distribution pattern, and south high-north low pattern. This indicates that the central area of Hangzhou's main urban area had higher spatial compactness, whereas the outer areas exhibited greater spatial irregularity and complexity in buildings. ③ Spatial extension and spatial irregularity had a positive effect, whereas spatial complexity had a negative effect. Spatial compactness had a dual effect on carbon emissions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2921-2933"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Source Apportionment of Soil Heavy Metals in Moqi Area on the Northwest Edge of Songnen Plain Based on the PCA-PMF Model].","authors":"Yong Yang, Hang Liu, Kai-Ming Zhao, Xue-Wen Wang, Ming-Jun Li, Ru-Xin Wang, Rui-Hong Li","doi":"10.13227/j.hjkx.202404104","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404104","url":null,"abstract":"<p><p>Black soil resources are widely distributed in Morin Dawa Daur Autonomous Banner （Moqi）, northwest margin of the Songnen Plain, which is an advanced county of grain production in China and an important agricultural producing area in the east of Hulunbuir City, Inner Mongolia. Carrying out research on distribution characteristics and source apportionment of heavy metals in soil is important for preventing and controlling ecological environmental risks and protecting black soil in the northwest margin of the Songnen Plain. A total of 161 surface soil sites were systematically collected from black soil in the Moqi area, and the contents and spatial distribution characteristics of eight heavy metals （Cu, Pb, Ni, Cd, Cr, Zn, As, and Hg） were analyzed. The characteristics of soil heavy metal pollution and its ecological risk were evaluated using the single factor pollution index and potential ecological risk index, and the sources and contribution rates were quantitatively analyzed using multivariate statistical analysis and positive definite matrix factorization （PMF） model. The results showed that： ① The overall heavy metal pollution level in the soil of the research area was light, with Pb（PI=1.38）, Zn（PI=1.32）, and Cr（PI=1.32） being the main heavy metal pollution elements. ② The degree of variation of Cd and Hg was strong （CV≥0.36）, Cd showed moderate ecological risk at 17.39% of the sampling sites, Hg showed moderate and high ecological risk at 36.65% and 3.11% of the sampling sites, and the potential ecological risk of the other heavy metals was slight. ③ The spatial distribution of Cu, Ni, and Cr was similar, and there was a highly significant positive correlation among them, mainly derived from agricultural activities； Pb was significantly positively correlated with As, mainly influenced by transportation and agricultural activities； Cd and Zn had similar spatial distribution and were highly influenced by agricultural activities； and Hg mainly came from soil parent material. This research can provide scientific basis for the protection of black soil and the prevention and control of agricultural heavy metal pollution risks in the Moqi area on the northwest edge of the Songnen Plain.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3220-3228"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Analysis of the Influencing Factors of Heavy Metal Pollution in the Surrounding Soil of Typical Industrial Enterprises in Sichuan based on Geographical Detectors].","authors":"Dong-Yue Sun, Xiao-Xu Jiang, Xiao-Bai Zhou, Nan Yang, Xue Feng","doi":"10.13227/j.hjkx.202405103","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405103","url":null,"abstract":"<p><p>The surrounding soils of nine typical industrial enterprises in Sichuan Province were selected as the research objects. The contents of heavy metals Cd, Hg, As, Pb, Cr, Cu, Ni, and Zn in 25 surface soil samples around industrial enterprises were collected and analyzed. The potential ecological risk assessment method was used to evaluate the potential ecological risks of heavy metals in the soil. Based on the geographic detector, ten influencing factors, such as the distance from the enterprise, the relative elevation difference with the location of the enterprise, and the type of industry were selected as independent variables, and the analysis was conducted with the content of heavy metals as the dependent variable, and further verification was conducted using correlation analysis. The results showed that the soils around industrial enterprises in the study area were mainly characterized by \"moderate\" potential risks, accounting for 40%, whereas the other four risk types each accounted for 8% to 20%. Cd and Hg were the main contributing indicators to the potential ecological risk in the study area. The results of the geographic detector showed that \"distance from the enterprise\" had the strongest explanatory power for Cd, Pb, and Zn； \"industry type\" had the strongest explanatory power for As, Cr, Cu, and Ni； and \"precipitation\" had the strongest explanatory power for Hg. The results of interaction detection showed that after the interaction of each factor, the explanatory power was increased, indicating that the content of heavy metals in soil was affected by a compound of multiple influencing factors. The results of correlation verification showed that there were significant correlations between Cd, As, Pb, and Zn, indicating a certain homogeneity among the four heavy metals, which was basically consistent with the results of the geographic detector and could further validate the results of the geographic detector, making the results more accurate and reliable.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3229-3236"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Construction of an Ecological Security Pattern in Karst Watersheds Based on Ecological Corridor Identification： A Case Study of the Nanming River Basin in Guizhou].","authors":"Yue Li, Jing-Lan Liu, Jing-Jing Li, Chun-Yu Yang, Guang-Jie Luo","doi":"10.13227/j.hjkx.202404038","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404038","url":null,"abstract":"<p><p>Constructing an ecological security pattern is important for maintaining the stability of the ecosystem in karst areas and promoting the sustainable development of regional social economy. This study takes the Nanming River Basin, a typical karst basin in Guizhou Plateau, as the research object, combines multi-source data, evaluates the ecosystem service （ES） of the basin by using the InVEST model, and identifies ecological source areas scientifically by combining ecological sensitivity, MSPA analysis, and landscape connectivity. The circuit theory is used to identify the ecological corridor and determine the points and obstacles, analyze the integrity and connectivity of the basin ecosystem, reveal the development trend of the basin ecological security, and finally form the ecological security pattern of the Nanming River Basin with the combination of \"point-line-plane.\" The results show that： ① From 2000 to 2020, the ecosystem services of the Nanming River Basin showed a spatial feature of high in the northeast and low in the southwest. ② The ecological sensitivity of the Nanming River Basin was mainly low sensitivity, concentrated in the upper and middle reaches of the basin； the overall level of landscape connectivity was high, with uneven spatial distribution, showing a distribution pattern of high in the northeast and low in the southwest. ③ Patches with better habitat quality were selected as ecological sources, and 52, 52, and 65 ecological sources were identified in 20 years, with a total area of 460.36, 436.74, and 435.11 km², respectively, concentrated in the downstream of the basin with woodland and grassland as the land use types. ④ In this study, 116, 126, and 190 ecological corridors were extracted in 20 years, and short-distance corridors were mainly distributed in the northeast of the basin with a large number, whereas the southwest showed the opposite. A total of 419, 455, and 460 ecological nodes were identified in 20 years, among which the pinch points were mainly concentrated in the downstream of the basin with high vegetation coverage, which should be the key area for ecological protection. The obstacle points were concentrated in the upper and middle reaches of the basin with frequent human activities. The research results aim to provide theoretical and scientific basis for the improvement of ecosystem functions and ecological protection in the Nanming River Basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3098-3113"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144101967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Distribution Characteristics and Genetic Analysis of Fluorine in Groundwater in Middle Reaches of Heihe River].","authors":"Xiao-Yan Wang, Meng-Nan Zhang, De-Chao Yin, Tao Ma, Shuang-Bao Han, Xi Wu, Wen-Xiang Wang, Yong-Hui An","doi":"10.13227/j.hjkx.202405061","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405061","url":null,"abstract":"<p><p>Excess fluoride （F^-） in groundwater can be harmful to the health of local residents who depend on it. To study the distribution characteristics and genetic mechanism of high fluoride groundwater in the middle reaches of the main stream of Heihe River, 196 sets of shallow groundwater samples and 9 sets of middle and deep groundwater were collected. Mathematical statistics, Durov diagram, Gibbs diagram, and ion ratio relationship were comprehensively used to explore the distribution characteristics, sources, and influencing factors of fluoride in the groundwater. The results showed that <i>ρ</i>（F^-） of shallow groundwater in the study area ranged from n.d to 2.71 mg·L^-1, and <i>ρ</i>（F^-） in the middle and deep groundwater ranged from n.d to 0.69 mg·L^-1. The spatial distribution trend of F^- concentration in groundwater was high in the northeast and low in the southwest and the F^- concentration decreased with increasing depth. The main chemical type of the regional shallow high fluoride groundwater was SO₄·HCO₃-Na·Mg, which was mainly distributed in the groundwater discharge area of the piedmont plain of Heli Mountain. Hydrogeological environment and aquifer lithology were the main factors affecting the shallow high fluoride groundwater in the middle reaches of the Heihe River. Fluoride-rich minerals in mountainous areas were the source of F^- in groundwater. The alkaline groundwater environment, cation exchange adsorption, and evaporation further promoted the enrichment of F^-. This study aims to clarify the source of fluoride in regional groundwater and identify the hydrogeochemical processes and influencing factors of F^- enrichment in groundwater, which is essential to ensure the sustainable development of water resources in arid areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2757-2766"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Effects of Major Urban Meteorological Factors on Near-surface Ozone on the Northern Slope of the Tianshan Mountains from 2018 to 2022].","authors":"Kun Zheng, Meng-Hui Li, Wan-Yue Deng, Li-Ping Wu, Chao Gu, Wen Yang, Chun-Mei Geng","doi":"10.13227/j.hjkx.202404016","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404016","url":null,"abstract":"<p><p>The analysis of the ozone trend after removing the influence of meteorological factors is extremely important to evaluate the implementation effect of air pollution prevention and control policies. The effects of meteorological factors on near-surface ozone concentrations in four cities （Shihezi, Changji, Wujiaqu, and Urumqi） with serious air pollution in the economic zone of the northern slope of the Tianshan Mountains in the past five years （2018-2022） were investigated using a combination of the KZ filtering method and multiple linear stepwise regression. The results showed that the seasonal component of O₃-8h contributed the most （≥69.3%） to the total variance of the original O₃-8h sequence, and the long-term component contributed the least （≤1.9%） to the total variance, indicating that near-surface ozone concentration （in the cities） was mainly affected by the changes in seasonal and short-term meteorological conditions. O₃ was significantly positively correlated with daily maximum temperature and negatively correlated with relative humidity and barometric pressure. O₃-8h concentrations increased significantly at elevated wind speeds, which may have been due to the titration reaction of O₃ with locally emitted NO under quiescent conditions, whereas faster regional transport replenished locally consumed O₃. Changes in meteorological factors contributed 33%-61% percent to the change in O₃ concentration, and the meteorological conditions of Aiqing Poetry Hall and the Training Base contributed less to the O₃-8h concentration, 48% and 33%, respectively, whereas the meteorological conditions of other stations had a greater impact. Using the analysis of changes in O₃ and NO₂ concentrations before and after the removal of meteorological factors, the effect of meteorological factors on the sensitivity partitioning of O₃ production could be observed. The ozone sensitivity of Changji （the Government Affairs Center of the New District）, Wujiaqu （the Nongshui Building）, and Urumqi （the monitoring station and Midong District Environmental Protection Bureau） tended to be VOCs-controlled, whereas in the sites in Shihezi （the Aiqing Poetry Museum） and Urumqi （the training base） the ozone sensitivity was closer to mixed sensitivity or NO<i>_x</i>-controls. This study helps to recognize the influence of meteorological factors on O₃ concentration in major cities in the economic zone of the north slope of Tianshan Mountain and provides scientific and technological support for the control of atmospheric ozone pollution in Northwest China.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2654-2664"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}